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Published on: March 24, 2015
The evaluation of interferon lambda 4 rs368234815 as a predictor factor in treated patients with chronic hepatitis C
Shahram Jalilian1, Seyed Mahmoud Latifi2, Manoochehr Makvandi1
1Infectious and Tropical Diseases Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Context:
Host factors including single-nucleotide polymorphisms (SNPs) in or near interferon lambda (IFNL) gene are the important factors in predicting response to treatment of chronic hepatitis C (CHC).
Aims:
The aim of this study was to determine the frequency and association of IFNL4 rs368234815 with IFNL3 SNPs rs12979860, rs8099917 and other factors including cholesterol, alanine aminotransferase, fibrosis, viral load, age and body mass index in genotype 1a treated CHC patients, to achieve rapid virologic response (RVR) and sustained virologic response (SVR).
Subjects And Methods:
A total of 71 hepatitis C virus genotype 1a patients were enrolled from 2013 to 2015. The genotypes of rs12979860, rs8099917 were identified by polymerase chain reaction (PCR) and restriction fragment length polymorphism while the genotype rs368234815 detected by amplification-refractory mutation system-PCR.
Results:
The rate of RVR and SVR were 43/71 (60.6%) and 46/71 (64.8%), respectively. To achieve an SVR in patients with rs368234815, TT/TT genotype 20/24 (83.3%) was found to be higher than other SNPs. The correlation coefficient of rs368234815 was strongly associated with rs12979860 (r = 0.788, P < 0.001). Multivariate logistic regression showed that the cholesterol (odds ratio [OR]: 0.205, confidence interval [CI] 95%: 0.047-0.891, P = 0.035), age (OR: 0.160, CI 95%: 0.035-0.730, P = 0.018), baseline viral load (OR: 0.167, CI 95%: 0.032-879, P < 0.035) and IFNL4 (OR: 5.453, CI 95%: 1.015-29.293, P < 0.048) could be independent predictors of SVR.
Conclusions:
The results of these findings emphasise that factors such as age, cholesterol, baseline viral load and IFNL4 rs368234815 are better predictive factors and should be evaluated before CHC treatment.
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